Name
Abstract | ||
|---|---|---|
This paper studies basic dynamics and learning capability of the simple dynamic binary neural network. The network has the signum activation function and can exhibit various binary periodic orbits. In order to visualize the dynamics, we introduce the Gray-code-based return map. In order to store a desired binary periodic orbit, we present a simple learning algorithm based on the correlation learning. We then try to store a teacher signal corresponding to a typical control signal of a switching power converter. Performing numerical experiments, we have confirmed the storage of the teacher signal and its automatic stabilization. |
Year | Venue | Keywords |
|---|---|---|
2012 | 2012 IEEE ASIA PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS (APCCAS) | gray codes,neural nets,learning artificial intelligence |
Field | DocType | Citations |
Control theory,Computer science,Activation function,Binary neural network,Algorithm,Electronic engineering,Gray code,Switching power converter,Electronic circuit,Artificial neural network,Periodic orbits,Binary number | Conference | 0 |
PageRank | References | Authors |
0.34 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jungo Moriyasu | 1 | 6 | 1.53 |
| Ryota Kouzuki | 2 | 9 | 1.34 |
| Toshimichi Saito | 3 | 382 | 74.54 |